biomass production chain and growth simulation model for kenaf · kpsi(n) is the hydraulic...
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Biomass Production Chain and Growth Biomass Production Chain and Growth Simulation Model for KenafSimulation Model for Kenaf
QLK5QLK5--CTCT--20022002--0172901729
WP3. Development of the Kenaf growth simulation WP3. Development of the Kenaf growth simulation modelmodel
University of Thessaly (UUniversity of Thessaly (UΤΤH)H)
Department of Agriculture,Crop Production & Department of Agriculture,Crop Production & Agricultural EnvironmentAgricultural Environment
Simplified flow chart of kenaf production during Simplified flow chart of kenaf production during one interval of calculationsone interval of calculations
Production Production Situation 1Situation 1
Single leaf assimilationSingle leaf assimilation
A=Amax (1-eε*PAR/Amax)A=Amax (1-eε*PAR/Amax)
Canopy AssimilationCanopy Assimilation
LAIkcef ePAR ×−−=1
Radiation RadiationRadiation
Angle of radiation interception
Light distribution within the crop canopy
Effect of direct and diffuse radiation
Leaf area (index)
Leaf angle (extinction coefficient)
Angle of radiation interceptionAngle of radiation interception
Light distribution within the crop canopyLight distribution within the crop canopy
Effect of direct and diffuse radiationEffect of direct and diffuse radiation
Leaf Leaf area (index)area (index)
Leaf angle (extinction coefficient)Leaf angle (extinction coefficient)
Canopy AssimilationCanopy Assimilation
Model operationsModel operations
Calculation of global radiation
Differentiation of direct from diffuse radiation
Calculation of PAR
Calculation of radiation within the canopy
Calculation of gross canopy assimilation rate
Calculation of dry mass productivity
Dry mass separation to plant organs
Calculation of global radiationCalculation of global radiation
Differentiation of direct from diffuse radiationDifferentiation of direct from diffuse radiation
Calculation of PARCalculation of PAR
Calculation of radiation within the canopyCalculation of radiation within the canopy
Calculation of gross canopy assimilation rateCalculation of gross canopy assimilation rate
Calculation of dry mass productivityCalculation of dry mass productivity
Dry mass separation to plant organsDry mass separation to plant organs
Total radiation.AVRAD (J m-2 d-1)Total radiation.AVRAD (J m-2 d-1)
From the total radiation reaching the atmosphere (DSO = 1370 W/m2), only a part reaches the earth’s surface (AVRAD) according to the value of the atmospheric transmission (ATMTR).
From the total radiation reaching the atmosphere (DSO = 1370 W/m2), only a part reaches the earth’s surface (AVRAD) according to the value of the atmospheric transmission (ATMTR).
AVRAD = DSO x ATMTR
(300-3000nm)
AVRAD = DSO x ATMTR
(300-3000nm)
Direct and diffuse radiationCoefficient FRDIF
Direct and diffuse radiationCoefficient FRDIF
Important improvement of the model comprises the differentiation between of the direct and diffuse parts of the global radiation.
Important improvement of the model comprises the differentiation between of the direct and diffuse parts of the global radiation.
( )
ATMTRforAVRADFRDIF
ATMTRforATMTRAVRADFRDIF
ATMTRforATMTRAVRADFRDIF
ATMTRAVRADFRDIF
≤=
<≤×−=
<≤−−=
<=
75.023.0
75.035.046.133.1
35.007.007.03.21
07.01
2
για
PAR (J m-2 s-1)PAR (J m-2 s-1)
The part of AVRAD (300-3000 nm) that is photosynthetically active (400-700 nm).The part of AVRAD (300-3000 nm) that is photosynthetically active (400-700 nm).
AVRAD
PAR
PARDIR PARDIF
Radiation within the canopyVIS (J m-2 s-1)
Radiation within the canopyVIS (J m-2 s-1)
PAR is not constant within the canopy but it degreases exponentially with increasing leaf area index. VIS is the value of PAR in every canopy level. PAR is not constant within the canopy but it degreases exponentially with increasing leaf area index. VIS is the value of PAR in every canopy level.
VIS
VIST (PARDIR)
VISDF (PARDIF)
VISD (PARDIR)
Radiation within the canopyVIS (J m-2 s-1)
Radiation within the canopyVIS (J m-2 s-1)
Instant assimilation rate at any canopy level FGL (kg (CO2) ha-1 h-1)
Instant assimilation rate at any canopy level FGL (kg (CO2) ha-1 h-1)
VIS
PAR
VISSHD
VISSP
FGRSH
FGRSUN
FGLFSLLA
Dry weight increaseDWI (kg ha-1 d-1)
Dry weight increaseDWI (kg ha-1 d-1)
FGL
Integrated for day length
FGC FGASS DWI
What follows nextWhat follows next
DWI = FGC * (30/44) * CFT * CFW * 0.6 kg ha-1 d-1DWI = FGC * (30/44) * CFT * CFW * 0.6 kg ha-1 d-1
Growth respiration
Maintenance respiration
Growth respiration
Maintenance respiration
Influence of (leaf canopy) temperatureInfluence of (leaf canopy) temperature
Influence of water availability (TRa/TRm)
Influence of water availability (TRa/TRm)
Functional relationsFunctional relations
12 −−×= dJmATMTRDSOAVRAD
⎟⎠⎞
⎜⎝⎛ ×+=
DAYLnbaATMTR
( ) 12
0
sin365
2cos033.011370 −−∫×⎥⎦
⎤⎢⎣
⎡⎟⎠⎞
⎜⎝⎛ ×××+×= dJmdtBDAYDSO
DAYL
π
)365
102cos()45.23(arcsin(sin +××××−=
DAYRADDEC π
( ) )sin(sin DECLATRADSSIN ××=
( ) )cos(cos DECLATRADCCOS ××=
hoursCCOSSSIN
DAYL
⎥⎥⎥⎥
⎦
⎤
⎢⎢⎢⎢
⎣
⎡⎟⎠⎞
⎜⎝⎛×
+×=π
arcsin2112
( ))24
122cos()sin( +×××+=
HOURCCOSSSINB π
( )
(3.11d)75.023.0
(3.11c)75.035.046.133.1
(3.11b)35.007.007.03.21
(3.11a)07.01
2
ATMTRAVRADFRDIF
ATMTRATMTRAVRADFRDIF
ATMTRATMTRAVRADFRDIF
ATMTRAVRADFRDIF
≤=
<≤×−=
<≤−−=
<=
για
για
για
για
( ) 12
0
)(nsi
nsi5.0 −−
∫ ′
′××= sJm
dtB
BAVRADPAR DAYL
12)sin(5.0 −−×××= sJmBFRDFIRAVRADPARDIF
12 −−== sJmPARDIFPARPARDIR
( ) 12 )(1 −−×−××−= sleafJmePARREFSVIS LAIk
( ) 12 )(1 −−×−×××−= sleafJmeKDIFPARDIFREFSVISDF LAIKDIF
( ) 12 )(1 −−×−×××−= sleafJmeKDIRTPARDIRREFSVIST LAIKDIRT
( ) 12 )(1 −−×−×××−= sleafJmeKDIRBLPARDIRSCVVISD LAIKDIRBL
2.018.0 =−×= SCVSCVKDIF
( )BKDIRBL
sin5.0
=
SCVKDIRBLKDIRT −×= 1
SCVSCVREFH
−+−−
=1111
( )BREFHREFS
sin5.01
+×=
12 )( −−−+= sleafJmVISDVISTVISDFVISSHD
( ) 1121 −−
×−
⎟⎟⎠
⎞⎜⎜⎝
⎛−×= hhaCOkgeAMAXFGRSH AMAX
EFFVISSHD
( ) ( )12 )(
sin1 −−×−= sleafJm
BPARDIRSCVVISSP
( ) 112 )(
11 −−
×−
⎥⎥⎥⎥⎥
⎦
⎤
⎢⎢⎢⎢⎢
⎣
⎡
−
⎟⎟⎠
⎞⎜⎜⎝
⎛−
×−−×= hhaCOkgVISPPEFF
eFGRSHAMAXAMAXFGRSUN
AMAXEFFVISPP
( ) 112 )(1 −−×−+×= hhaCOkgFGRSHFSLLAFGRSUNFSLLAFGL
LAIKDIRBLeFSLLA ×−=
15.05.0)( ××+×= LAIILAIILAIC
( ) 1,0,115.05.05.012)( −=×+××+= IIDAYLIHOUR
( ) ( ) ( )( ) 112 )(
6.3106.11)( −−×+×+−= dhaCOkgLAIFGLFGLFGLIFGROS
( ) ( ) ( )( ) 112 )(
6.3106.11 −−×+×+−= dhaCOkgDAYLFGROSFGROSSFGROSFGC
Production Production Situation 1Situation 1
Simplified flow chart of kenaf production during Simplified flow chart of kenaf production during one interval of calculationsone interval of calculations
THEORETICAL BACKGROUND AND THEORETICAL BACKGROUND AND FUNCTIONAL RELATIONSFUNCTIONAL RELATIONS
The water balanceThe water balance
RSMsRSMs = IM = IM -- (D + CRISE) (D + CRISE) -- TR(RD)TR(RD)
RSMsRSMs is the change in moisture content of the systemis the change in moisture content of the system
IM IM is the rate of net influx through the upper system is the rate of net influx through the upper system boundaryboundary
(D+CRISE)(D+CRISE) is the rate of net is the rate of net outfluxoutflux through the lower system through the lower system boundary, composed of capillary rise (CRISE) and boundary, composed of capillary rise (CRISE) and drainage to the subsoil (D)drainage to the subsoil (D)
TR(RD) TR(RD) is the rate of water loss from the interior of the is the rate of water loss from the interior of the rooted profile. rooted profile.
All variables are expressed in cm dAll variables are expressed in cm d--11..
IM = (PREC+IRR+DSIM = (PREC+IRR+DS--ROFF) ROFF) -- EAEA
PREC and IRR are the effective precipitation and PREC and IRR are the effective precipitation and irrigation ratesirrigation rates
DSDS is the rate at which water stored on the surface is the rate at which water stored on the surface declines (DS>=0)declines (DS>=0)
ROFFROFF is surface runis surface run--offoffEAEA is the actual evaporation rate (all in cm dis the actual evaporation rate (all in cm d--11).).
Soil moisture dynamics
Soil profileSoil profile
Soil compartmentsSoil compartments
PSI(n)SMPSI(n)KPSI(n)HEAD(n)VOLW(n)
PSI(n)SMPSI(n)KPSI(n)HEAD(n)VOLW(n)
n-1n-1
V1V1
n+1n+1
nn
V2V2
TCOMTCOM
Functional relations (DarcyFunctional relations (Darcy’’s Law)s Law)
V1=KAV1*(HEAD(n-1)-HEAD(n))/(0.5*(TCOM(n-1)+TCOM(n))
V2=KAV2*(HEAD(n)-HEAD(n+1))/(0.5*(TCOM(n)+TCOM(n+1))(in cm d-1)
HEAD(n) is the hydraulic head in the centre of compartment (n)TCOM(n) is the size of compartment (n) KAV1 and KAV2 are the arithmetic averages of the hydraulic
conductivities
KAV1 = 0.5*(KPSI(n)+KPSI(n-1)), in cm d-1
KAV2 = 0.5*(KPSI(n)+KPSI(n+1)), in cm d-1
KPSI(n) is the hydraulic conductivity in the compartment (n) (cm d-1)
HEAD(nHEAD(n) = ) = Z(nZ(n) ) -- PSI(nPSI(n), in cm), in cm
PSI represents the matrix suction, i.e. the absolute value of the matrix potential (cm)
Z(n) the distance from the centre of compartment (n) to ground-water table
At ground-water level, Z=PSI=HEAD=0.
A positive value for water moving in downward direction (HEAD>0).
At the middle of each soil compartment, Z is calculated according to the following formulations:
Z(1) = TOTDEP Z(1) = TOTDEP -- 0.5*TCOM(1), in cm0.5*TCOM(1), in cmZ(n) = Z(nZ(n) = Z(n--1) 1) -- 0.5*(TCOM(n0.5*(TCOM(n--1)+TCOM(n)), in cm1)+TCOM(n)), in cm
where TOTDEP is the depth of the ground water from the soil surface (cm).
The rate of change in the moisture content of each soil compartment is:
RSM = V1 RSM = V1 -- V2 V2 -- TRCOM, in cm dTRCOM, in cm d--11
where TRCOM represents the actual water loss by transpiration (cm d-1).
The updated volume of water and the corresponding new soil moisture content are given by:
VOLW(n)newVOLW(n)new = = VOLW(n)oldVOLW(n)old + RSM*DELTAT, in cm+ RSM*DELTAT, in cm
SMPSI(nSMPSI(n) = ) = VOLW(n)newVOLW(n)new / / TCOM(nTCOM(n), in cm), in cm33cmcm--33
where VOLW is the water volume, and DELTAT is the time interval of calculations.
Water uptakeWater uptakeMaximum transpiration rateMaximum transpiration rate
11LET = LET = ---------------------------------- * (PENX * NETRA + * (PENX * NETRA + huhu * (EASAT * (EASAT -- EAC)), in J mEAC)), in J m--22dd--11
PENX + gPENX + g
where LET is the evaporative heat loss above the canopy (J m-2d-1)
PENX is the slope of the saturation vapour pressure curve at mean temperature,g is the psychrometer constant (=0.66 mbar oC-1),NETRA is net absorbed radiation (J m-2d-1),hu is the sensible heat transfer coefficient (J m-2d-1K-1),EASAT is the saturated vapour pressure at mean air temperature,
EAC is the actual vapour pressure (both in mbar).
NETRAdiationNETRAdiation
NETRA = SHRA NETRA = SHRA -- INRA, in J mINRA, in J m--22dd--11
SHRA = (1SHRA = (1--r)*AVRAD, in r)*AVRAD, in J mJ m--22dd--11
INRA = 4900*(TA+273)4*(0.56-0.079*EAC1/2)*(0.1+0.9*SD)
where where AVRAD AVRAD is the total global radiation is the total global radiation J mJ m--22dd--11
r r is the is the albedoalbedo (reflection coefficient) for kenaf (=0.25).(reflection coefficient) for kenaf (=0.25).SDSD is the sunshine duration ratio is the sunshine duration ratio TA TA is the average air temperature (is the average air temperature (ooCC). ). 49004900 is the value of the Stefanis the value of the Stefan--BolzmanBolzman constant (constant (J mJ m--22dd--11KK--44))EACEAC is the actual is the actual vapourvapour pressure (bar)pressure (bar)
huhu (heat transfer coefficient)(heat transfer coefficient)
The value of the sensible heat transfer coefficient, hu, depends on atmospheric turbulence and is expressed as an empirically determined function of mean wind velocity at a defined height (Penman, 1948):
hu = au*(1+WVAL*WIND) hu = au*(1+WVAL*WIND) in J min J m--22dd--1o1oCC--11
where WIND is the mean wind velocity (m s-1)au and WVAL are empirical constants
Frère & Popov (1979) suggest a value for au of 6.4*105 J mJ m--22dd--1o1oCC--11. Indicative WVAL values are reported by Frère (1979) in the range 0.54-0.89 s m-1, depending on the value of TMAX-TMIN (oC).
Saturated and actual Saturated and actual vapourvapour pressurespressures
EASAT=6.11*exp(17.4*TA/(TA+239) EASAT=6.11*exp(17.4*TA/(TA+239) ((GoudriaanGoudriaan, 1977), 1977)
EAC = EASAT * RHEAC = EASAT * RH
where RH is the average air humidity (%)EAC and EASAT are both expressed in mbar.
Tabulated values for PENXPENX are taken for various combinations of air temperature (TA) and altitude (ALT) in meters above or below sea level (in meters).
Max. TranspirationMax. Transpiration
TRM = 0.1 * LET / L, in cm d-1
where L is the latent heat of vaporization (2.45*106 J kg-1)
Root growth and distributionRoot growth and distribution
IF FRROOT>0 THEN RRG=IF FRROOT>0 THEN RRG=RRGRRG ELSE RRG=0, in cm dELSE RRG=0, in cm d--11
IF RD<RDM THEN RD=RD+RRG ELSE RD=RDM, in cmIF RD<RDM THEN RD=RD+RRG ELSE RD=RDM, in cm
where RD is the momentary rooting depth (cm).
Actual transpiration rateActual transpiration rate
SMCR = (1SMCR = (1--DEPLF)*(SMODEPLF)*(SMO--0.020.02--SMPWP) + SMPWP, in cmSMPWP) + SMPWP, in cm33cmcm--33
IF SMPSI >= (SMOIF SMPSI >= (SMO--0.02) THEN TR=00.02) THEN TR=0IF (SMOIF (SMO--0.02) >= SMPSI >= (SMO0.02) >= SMPSI >= (SMO--0.06) THEN 0.06) THEN
TR = TRM*(SMOTR = TRM*(SMO--0.020.02--SMPSI)/0.04SMPSI)/0.04IF (SMOIF (SMO--0.06) >= SMPSI >= SMCR THEN TR=TRM0.06) >= SMPSI >= SMCR THEN TR=TRMIF SMCR >= SMPSI >= SMPWP THEN IF SMCR >= SMPSI >= SMPWP THEN
TR = TRM*(SMPSITR = TRM*(SMPSI--SMPWP)/(SMCRSMPWP)/(SMCR--SMPWP)SMPWP)IF SMPWP >= SMPSI THEN TR=0, in cm dIF SMPWP >= SMPSI THEN TR=0, in cm d--11
SMOSMOSMPSISMPSI
SMCRSMCRSMPWPSMPWP
TRTR
TRMTRM
00
Evaluating the soil moisture content of a particular soil compartment, the above equations are used to approximate the fraction of the water actually taken up from this particular compartment (TRCOM).
For that, the maximum uptake rate (TRMCOM, in cm d-1) is calculated assuming root activity evenly distributed over the entire rooting zone.
If, for example, the rooting depth on a particular day is 85 cm,this will be distributed by 100% (full rooting) in the first 4 and by 25% in the 5th soil compartments (of 20 cm). A maximum transpiration rate of, say, TRM=6 cm d-1 would thus be divided over 5 rooted compartments: TRMCOM would be 1.41 cm d-1 for the first 4 compartments and 0.35 cm d-1 for the last one; these values are dictated by the equivalent root density of eachof these compartments.
Actual TranspirationActual Transpiration
⌠day ⌠DEPTH
TR = TRCOM(RD), in cm d-1
⌡0 ⌡0
where
DEPTH is the depth of the soil profile RD in parentheses denotes the dependence of the value of TRCOM on actual rooting depth.
Canopy TemperatureCanopy Temperature
TCAN = TA + (NETRA-10*TR*L)/hu, in oC
where the coefficient 10 (mm cm-1) is used to satisfy
the units.
Boundary conditionsBoundary conditions
AActual evaporationctual evaporation
EA = EM*(SMPSIEA = EM*(SMPSI--SMAD)/(SMOSMAD)/(SMO--SMAD) SMAD) in cm din cm d--11
where where SMPSI, SMO and SMAD represent the actual, saturation, and airSMPSI, SMO and SMAD represent the actual, saturation, and air--dry soil moisture contents of the topsoil respectively (cmdry soil moisture contents of the topsoil respectively (cm33cmcm--33). ). It applies only for the first soil compartment. It applies only for the first soil compartment.
Precise determination of the SMAD is difficult. Here, it is assuPrecise determination of the SMAD is difficult. Here, it is assumed med that the moisture content of airthat the moisture content of air--dry soil is approximately one dry soil is approximately one third of SMPWP (cmthird of SMPWP (cm33cmcm--33).).
RainfallRainfall--IrrigationIrrigation
In the case of rain or irrigation, the rain intensity (VO, in cm d-1) and the total amount of water (INP-REC or INPIRR, both in cm) are introduced as forcing variables. The duration of the irrigation or rain (DUR, in d) is also known or calculated as the ratio of INPIRR (or INPREC) over VO. In this case, the rate of water influx in the uppermost soil com-partment, V1, is found as follows:
IF INPIRR > 0 THEN DUR=INPIRR/VO ELSE DUR=0 (d)IF INPIRR > 0 THEN DUR=INPIRR/VO ELSE DUR=0 (d)IF S (DELTAT) < DUR THEN V1=(VOIF S (DELTAT) < DUR THEN V1=(VO--EA) ELSE V1= EA) ELSE V1= --EA EA (cm d(cm d--1)1)
Capillary riseCapillary riseCapillary rise takes place if the matrix suction (PSI) is greateCapillary rise takes place if the matrix suction (PSI) is greater r than the gravitational head (Z), according to:than the gravitational head (Z), according to:
IF IF PSI(nPSI(n)>)>Z(nZ(n) THEN V2(n)=CRISE) THEN V2(n)=CRISE
where PSI(n) (in cm) is the matrix suction at the centre of the
lowermost soil compartmentZ(n) (in cm) is the distance from this point to the ground-water
table CRISE is the rate of capillary rise (cm d-1)V2(n) is the flux through the lowermost soil boundary (cm d-1).
Assuming that Z=PSI=0 at ground-water depth and that Z increases upwards, capillary rise (CRISE) over the distance between the lower soil boundary and the ground-water table amounts to:
CRISE = KPSI * [1CRISE = KPSI * [1--(d(PSI)/d Z)](d(PSI)/d Z)], in cm d-1
where KPSI is the hydraulic conductivity (cm d-1).
Working out this Eqn. in the low suction rangelow suction range(below the texture-specific suction limit, PSIMAX) results in:
KOn * (exp(-ALF*Zn)-exp(-ALF*PSIn))CRISE=----------------------------------------------------
1 - exp(-ALF*Zn)
FOR Z ≤ PSI ≤PSIMAX
where
KO is the rate of hydraulic conductivity at saturation (cm d-1)
ALF (cm-1) and PSIMAX (cm) are texture specific constants.
The suffix (n) denotes the lowermost soil compartment.
Note also that CRISE in the above equations has a negative value.
For the high suction range (PSI>PSIMAX), numerical integration is applied but only if the ground-water table is within the boundaries of the soil profile. Alternatively, tables pre-pared by Rijtema (Danalatos, 1993) are used, relating CRISE over the distance Z to any combination of PSI and Z.
Deep percolation and adjustment of Deep percolation and adjustment of groundground--water depthwater depth
Downward percolation takes place through the lowest soil boundary if the matrix suction at this boundary is less than thedistance to the ground-water depth (PSI<Z):
IF PSI(n)<Z(n) THEN V2(n)=D
where D is the percolation rate (cm d-1).
If it occurs, the percolation rate is approximated with:
D = KPSI(n) * (1-d(PSIn)/dZn), in cm d-1
where KPSIn is the hydraulic conductivity of the lowermost compartment (in cm d-1).
Any flow through the lowest soil boundary affects the moisture content of the subsoil and the depth to ground-water table, which increases (CRISE>0) or decreases (D>0) by a distance DZ.
DZ is approximated with the following relation:
DZ = DZ = --2*(D+CRISE)*DELTAT*/(SMO2*(D+CRISE)*DELTAT*/(SMO--SMPSI), in cmSMPSI), in cm
and the ground-water depth is then adjusted by:
TOTDEP = TOTDEP + DZ, in cmTOTDEP = TOTDEP + DZ, in cm
The time intervalThe time intervalThe permissible length of DELTAT depends on the dynamics of ongoing processes and is therefore influenced by the choice of compartment sizes.
It appears that DELTAT is proportional to the thickness of the compartments squared and depends furthermore on the diffusivity.
In the detailed simulations 20 compartments were considered viz. 10 compartments of 2 cm, 5 compartments of 4 cm and 5 compartments of 6 cm; the DELTAT was set at one second(11.6*10-6d).
The simplified model uses considerably larger time intervals, inline with the needs of the connected kenaf-production model. DELTAT was finally set at 15 min15 min or 10.4*1010.4*10--33 dd; Diffusivity equations and our trials confirm that a compartment size of 20 cm can be safely used.
θθ--ψψ and and θθ--kk relationsrelations
For the calculation of SMPSI, a semi-empirical relation is used which contains a texture-specific geometry constant gama (in cm-2, Danalatos et al, 1994)
SMPSI = SMO * exp(-gama*ln(PSI)*ln(PSI))
For the KPSI-PSI relations, Rijtema (1969) have suggested:
KPSI = KO * exp(-ALF*PSI) FOR PSI =< PSIMAXKPSI = AK * PSI-1.4 FOR PSI > PSIMAX
where ALF (cm-1) and AK (cm-2) are texture-specific geometry constants, and PSIMAX (cm) is a texture-specific suction limit.
Influx through the upper soil boundaryInflux through the upper soil boundary
The maximum surface storage capacity of the soil is determined by the surface properties and the slope angle of the land. SSMAX is mathematically described as:
sin2(SIGsin2(SIG--PHI) PHI) cotan(SIG+PHI)+cotan(SIGcotan(SIG+PHI)+cotan(SIG--PHI)PHI)SSMAX=0.5*RG * SSMAX=0.5*RG * -------------------------------------- * * ----------------------------------------------------------------------------------------
sin SIG 2*cos(SIG)*cos(sin SIG 2*cos(SIG)*cos(--PHI)PHI)
where PHI is the slope angle of the land (o), RG is the surface roughness (cm), and SIG is the clod/furrow angle (o).
Simplified flow chart of kenaf production during Simplified flow chart of kenaf production during one interval of calculationsone interval of calculations
MaterialsMaterialsMaterialsHARDWARE
• Processor: AMD ATHLON XP 2800+
• Mother board: Gigabyte 7N400-Pro
• RAM: 512 MB 400 Mhz
• Hard disk: W.Digital 160 GB
• Graphics: ATI 9600 pro 128 MB Ram
• Screen: LG 1710S
HARDWARE
•• ProcessorProcessor: : AMD ATHLON XPAMD ATHLON XP 2800+2800+
•• Mother boardMother board: : GigabyteGigabyte 7N4007N400--ProPro
•• RAM: RAM: 512 MB 400 512 MB 400 MhzMhz
•• Hard diskHard disk: : W.Digital W.Digital 1160 60 GBGB
•• GraphicsGraphics: : ATI 9600 pro 128 MB RamATI 9600 pro 128 MB Ram
•• ScreenScreen: : LG 1710SLG 1710S
SOFTWARE
• Microsoft Visual Basic 6
•Microsoft Excel 2000
•Helexis Icon Catcher v3.0
•Microsoft Paint for windows XP
SOFTWARE
• Microsoft Visual Basic 6Microsoft Visual Basic 6
••Microsoft Excel 2000Microsoft Excel 2000
••Helexis Icon Catcher v3.0Helexis Icon Catcher v3.0
••Microsoft Paint for windows XPMicrosoft Paint for windows XP
Measured and simulated total dry weight under Measured and simulated total dry weight under optimum conditions in 2003 and 2004optimum conditions in 2003 and 2004
J.D.J.D.
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aKg
/ha
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total-2004-S1total-2004-S2total-2003-S1total-2003-S2sim-2004-S1sim-2004-S2sim-2003-S1sim-2003-S2
Measured and simulated dry stem weight under Measured and simulated dry stem weight under optimum conditions in 2003 and 2004optimum conditions in 2003 and 2004
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steml-2004-S1 stem-2004-S2 stem-2003-S1 stem-2003-S2
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